Relevant Software
Services
AI product discovery services

AI product discovery services

Your scope shifts, roadmap is a guess, engineers are waiting, and nobody can answer what ships first? In 2-3 weeks of AI-powered product discovery with Relevant, you get a PRD, an architecture, a phased delivery plan with a budget, and an interactive prototype.

2023

AI discovery sinceFull-scale discovery from the start of the AI era

10+

Years of ML and data engineering expertiseEngineering excellence gained before AI

20+

Projects launched Started after AI discovery and successfully delivered in full

10+

Ideas validatedOrganizations helped with quick project idea validation, prototyping, and ramp-up

98%

Client satisfactionCustomers trust us with new projects

Who it's for

SaaS Founders
You’ve got an AI product idea and a deadline. But the scope keeps shifting, the requirements still feel fuzzy, and you’re not ready to hand a dev team a big budget without a plan you can trust.
CTOs and Heads of Product
Your team’s waiting on decisions that haven’t been made yet. The roadmap exists, but nobody fully trusts it. You need the architecture and delivery sequence locked before the next sprint starts.
Teams Coming Out of Fundraising
You’ve got the budget and the mandate. Now you need a build plan you can defend, one that holds up in investor conversations and gets engineering moving in the right direction.

AI product discovery services we provide

Requirements Definition
Interactive Prototype
Architecture Design
Roadmap Planning
Risk & Feasibility Assessment
Cost & Timeline Estimation
Working Foundation Build

Requirements Definition
Interactive Prototype
Architecture Design
Roadmap Planning
Risk & Feasibility Assessment
Cost & Timeline Estimation
Working Foundation Build

Requirements Definition

You get a PRD that your engineers, designers, and stakeholders can use:

Feature scope, user flows, acceptance criteria
Non-functional requirements and constraints
Out-of-scope items to prevent feature creep

Interactive Prototype

You get a clickable front end built on Lovable. The idea becomes a working UI/UX experience in under 48 hours.

Front-end prototype built with Lovable in under 48 hours
Real user flows, not static wireframes
Demo-ready for investors and user feedback

Architecture Design

Your technical foundation is defined before development starts: models, data flow, integrations, and infrastructure.

LLM, RAG, and agent architecture choices
Data pipelines, vector stores, and APIs
Hosting, scaling, and cost-model design
Security layers and hardening plan
Performance optimization

Roadmap Planning

We break the build into phased milestones with a clear scope at each stage, so your budget is committed in steps tied to real progress.

MVP scope and post-MVP feature phases
Sprint-level plan with dependencies
Phase-by-phase budget and team setup

Risk & Feasibility Assessment

We test the idea before development starts, flagging compliance issues, model limits, and delivery risks so nothing surprises you mid-build.

AI feasibility checks (data, accuracy, cost)
Compliance review (GDPR, HIPAA, SOC 2)
Technical and timeline risk register

Cost & Timeline Estimation

You move into development with a budget you can defend because it is grounded in the architecture.

Phased budget with assumptions documented
Realistic delivery timeline with buffers
Run-cost forecast for AI infra and APIs

Working Foundation Build

For startups and small product teams, we build core user flows on top of the validated architecture. For mid-market and enterprise products, we scope working flows as a separate phase based on complexity and team structure.

2–3 core flows built end-to-end
Running on the validated architecture
Demo-ready, extensible by any team

What you walk away with

PRD

Architecture Blueprint

Delivery Roadmap

Risk Register

Phased Budget

Interactive Prototype

Our AI-powered product discovery process

Problem Space Mapped
We run interviews, user research, and competitor analysis to understand what you’re building and who it’s for. AI helps us synthesize conversations and market data, making discovery and deliverables creation up to 2x faster.
Scope and Requirements Locked
You receive a clear PRD: feature scope, user flows, acceptance criteria, non-functional requirements, and a defined out-of-scope list that stops feature creep before it starts.
Architecture Blueprint Defined
You get the model choices, data flow, integrations, and infrastructure defined against your locked scope. Tricky integrations get prototyped and feasibility gets stress-tested, so nothing important rests on an assumption.
Delivery Roadmap Built
We break the build into phased milestones, each with a clear scope, timeline, team setup, and budget. You see what ships in the MVP and what comes after.
Every Assumption Pressure-Tested
Before handoff, you get the full plan run through risk and feasibility checks: model accuracy, data availability, compliance constraints (GDPR, HIPAA, SOC 2), timeline buffers, and cost assumptions. Anything fragile gets flagged with a mitigation path, so you know the risks before you commit a budget.
You Receive the Full Package
By the end of week two, you get the full package: PRD, architecture blueprint, delivery roadmap, risk register, and budget. Hand it to your engineering team or move straight into AI-Accelerated MVP with the same team that built the plan.

Our<strong> AI-powered product discovery process</strong>

Move into development with a plan.

Book a free consultation

Paul Carse, CTO and Co-founder of Life Moments, UK

Why choose Relevant for AI product discovery

Engineering - Led Discovery

Our PRDs, architectures, and roadmaps are written by engineers with 13+ years of production software behind them. They survive contact with real development.

246 Projects Delivered

The scope we define and the stack we recommend are the ones we’ve shipped across fintech, healthtech, SaaS, and enterprise.

Architecture Built for Real AI Workloads

We design for token costs, latency, security and safety guardrails, model performance management, hallucination handling, and data flow, not generic web app patterns retrofitted to AI.

Compliance Before the First Line of Code

GDPR, HIPAA, SOC 2: we map what applies to your product during discovery, along with best security practices. Compliance isn’t a refactor later.

92% Senior Talent

You work with architects, tech leads, and product engineers who’ve made these calls on real products before.

The Same Team Builds What They Define

96% retention means no context lost in handoff. The team that defines your scope and architecture can take it straight into MVP.

Investor-Ready Output

Your PRD, architecture blueprint, and roadmap are written to the standard that VCs and acquirers expect during technical due diligence.

4.9 on Clutch

Verified clients and third-party reviews mean transparency and delivery quality.

Traditional discovery vs. AI-powered discovery with the Relevant team

Capability Area

Traditional Discovery

AI-Powered Discovery

Duration

4–8 weeks

2–3 weeks, with most of the time spent on human-to-human communication and decision-making

Research synthesis

Manual, days per interview

Hours instead of days

Architecture validation

Based on experience alone

Prototyped and stress-tested before you commit

Compliance mapping

Often missed or delayed

Mapped in week one, built into the architecture

Feasibility checks

High-level assumptions

Tested against your actual data, cost, and constraints

Output

Deck or Notion doc

PRD, architecture blueprint, roadmap, interactive prototype, risk register, budget

Handoff to development

Context often lost

Same team moves into build, which means no re-explaining and gaps

Cost

High hours, slow pace

Starts at $7K, budget tied to real milestones

AI product discovery case studies

20+

user flows

Event Platform Prototype

Turned a rough idea into a 20+ flow, clickable prototype in two weeks, ready for investors.

1-week

discovery phase

Fintech Architecture Assessment

Replaced an overengineered microservices plan with a modular SOA, reducing delivery risk and time to market.

What clients say about working with us

4.9 is our Clutch
average

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Ready to build on a plan you can defend?

Book a call with our experts to discuss your scope, architecture, or delivery roadmap. Get a clear plan before you commit to development.

Book a discovery call

**Nataliia Dynka**Client Partnership Director

**Nelia Morozyk**Head of Sales Operations

Frequently asked questions about AI product discovery services

What is AI product discovery?

Why not skip discovery and go straight to development?

What deliverables do I get at the end of 2–3 weeks?

Will discovery cover compliance requirements like GDPR, HIPAA, or SOC 2?

What if I don't know what AI features my product actually needs?

How does discovery work if I already have an existing product or codebase?

How do you validate whether the AI feature is technically feasible?

Do you build a prototype during discovery?

How do you estimate AI usage and infrastructure costs?

Can discovery help reduce development cost?

Who should join the discovery process?

What happens after discovery?

Can you help if we have already tried building with no-code or vibe-coding tools?

Lock the scope before your next sprint.

AI product discovery services we provide

Requirements Definition
Interactive Prototype
Architecture Design
Roadmap Planning
Risk & Feasibility Assessment
Cost & Timeline Estimation
Working Foundation Build

Requirements Definition
Interactive Prototype
Architecture Design
Roadmap Planning
Risk & Feasibility Assessment
Cost & Timeline Estimation
Working Foundation Build

Why choose Relevant for AI product discovery

Engineering - Led Discovery

Our PRDs, architectures, and roadmaps are written by engineers with 13+ years of production software behind them. They survive contact with real development.

246 Projects Delivered

The scope we define and the stack we recommend are the ones we’ve shipped across fintech, healthtech, SaaS, and enterprise.

Architecture Built for Real AI Workloads

We design for token costs, latency, security and safety guardrails, model performance management, hallucination handling, and data flow, not generic web app patterns retrofitted to AI.

Compliance Before the First Line of Code

GDPR, HIPAA, SOC 2: we map what applies to your product during discovery, along with best security practices. Compliance isn’t a refactor later.

92% Senior Talent

You work with architects, tech leads, and product engineers who’ve made these calls on real products before.

The Same Team Builds What They Define

96% retention means no context lost in handoff. The team that defines your scope and architecture can take it straight into MVP.

Investor-Ready Output

Your PRD, architecture blueprint, and roadmap are written to the standard that VCs and acquirers expect during technical due diligence.

4.9 on Clutch

Verified clients and third-party reviews mean transparency and delivery quality.

Lock the scope before your next sprint.